Aiden's repositories
road-to-master
A repo to store our research footprint on AI
HelloBERTopic
BERTopic 中文使用範例
llama_playground
Just a llama playground
note-algorithm
Just a tiny repo to store some algorithm notes.
aquarium
AI-controlled Linux Containers
Bert4Rec
The implementation of Bert4Rec by pytorch and pytorch-lightning
BERT4Rec-VAE-Pytorch
Pytorch implementation of BERT4Rec and Netflix VAE.
cornac
A Comparative Framework for Multimodal Recommender Systems
fever
FEVER (Fact Extraction and VERification) Annotation Platform and Baselines
kafka-docker
Dockerfile for Apache Kafka
LF_Golang
A simple handbook for recording my learning footprints of golang~
llama
Inference code for LLaMA models
llama.cpp
Port of Facebook's LLaMA model in C/C++
note-git
This repository will document some of the commonly used Git commands and their explanations. I will use tables and charts to illustrate them.
react-page
Next-gen, highly customizable content editor for the browser - based on React and written in TypeScript. WYSIWYG on steroids.
recommenders
Best Practices on Recommendation Systems
SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.